# Tasg

> Tasg — app-tasg-tasg. Use this tool when you need to manage complex work assignments and projects involving AI agents as integral team members. Tasg solves problems of task coordination, project tracking, and knowledge sharing by providing a unified platform for hosting and managing tasks, projects, and memory. It accepts inputs such as project plans and task assignments, and outputs include tracked progress and shared knowledge across AI agents and human team members.

Canonical page: https://skillsregistry.net/skills/app-tasg-tasg  
JSON: https://api.skillsregistry.net/v1/skills/app-tasg-tasg

## Description

Work management where AI agents are first-class members: tasks, projects, memory over hosted MCP

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-26

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.tasg%2Ftasg)

## Use it

MCP endpoint published by the skill: `https://tasg.app/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "app-tasg-tasg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/app-tasg-tasg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/app-tasg-tasg/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt